aiqbench analysis
This research advances autonomous cislunar navigation by formulating rendezvous maneuvers as purely convex programs, ensuring passively safe execution despite sensor uncertainties and actuation errors. The methodology is specifically validated for NASA's CAPSTONE 02 mission, providing a robust baseline for onboard guidance in complex halo orbits without relying on real-time optimization solvers that may fail under uncertainty.
Passively Safe Convex Guidance for Cislunar Rendezvous and Proximity Operations
arXiv:2608.03060v1 Announce Type: new Abstract: This paper presents purely convex programs for passively safe impulsive rendezvous and proximity operations in cislunar orbits. Approach, arrival, and abort maneuvers are all designed and validated in the context of maneuver execution error and navigation uncertainty, and formulated for efficient onboard execution in the autonomous scenario. The outlined methods form the baseline onboard guidance routines for NASA's CAPSTONE 02 mission planned to demonstrate autonomous rendezvous and proximity operations capabilities in the southern 9:2 synodic near rectilinear halo orbit. High fidelity closed loop Monte Carlo simulations using the planned relative navigation sensor suite and measurement cadence verify the intended maneuver design performance.
Abstract:This paper presents purely convex programs for passively safe impulsive rendezvous and proximity operations in cislunar orbits. Approach, arrival, and abort maneuvers are all designed and validated in the context of maneuver execution error and navigation uncertainty, and formulated for efficient onboard execution in the autonomous scenario. The outlined methods form the baseline onboard guidance routines for NASA's CAPSTONE 02 mission planned to demonstrate autonomous rendezvous and proximity operations capabilities in the southern 9:2 synodic near rectilinear halo orbit. High fidelity closed loop Monte Carlo simulations using the planned relative navigation sensor suite and measurement cadence verify the intended maneuver design performance.
Robotics (cs.RO); Optimization and Control (math.OC); Chaotic Dynamics (nlin.CD)
arXiv:2608.03060 [cs.RO]
(or arXiv:2608.03060v1 [cs.RO] for this version)
https://doi.org/10.48550/arXiv.2608.03060 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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Full text under the publisher's open licence · 202 words
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